New York City Health Atlas

Injury ER Visits

Compare This Metric

Description

Number of emergency room visits for injuries, poisonings, or accidents.


Calculation

Number of ER visits for injuries per 1,000 population.


Source

Statewide Planning and Research Cooperative System (SPARCS) Outpatient Data, 2011-2013.


Years of Data

2011-2013


Additional Resources

City Wide Average

76.0

Census Tract 4008500 Average

125.5

Averages

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76.0 City-Wide
51.9 Queens
125.5 Tract

Census Tract 4008500

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Injury ER Visit Rate Population (2011-2013)
All 125.5 3,036

Sex

Female 129.6 1,474
Male 145.5 1,560

Race/Ethnicity

Asian/Pacific Islander 213.2 197
Black 0.0 85
Hispanic 83.8 1,492
White 113.9 957

Age

0-14 years 92.3 845
15-24 years 154.6 317
25-34 years 67.9 884
35-44 years 137.7 385
45-54 years 156.9 306
55-64 years 277.4 137
65-74 years 0.0 58
75+ years 0.0 81
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Correlation Is Not Causation

In statistics, correlation is a measure of association between two numeric variables. The strength of correlation between two variables is represented by the correlation coefficient, represented by the abbreviation r. Correlation coefficients range between -1 to 1.

Though the correlation coefficient indicates the strength of an association, it does not provide information about whether the change in one variable is caused by the other.

For example, if the correlation between adult smoking prevalence and child poverty is 0.7—a strong correlation—we cannot say either that adult smoking causes child poverty or, inversely, that child poverty causes smoking. We only know that as one of these variables increases, the other tends to increases.